This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2876) Telehealth and Telemonitoring (1913) Ophthalmology (59) Collateral Damage of the Pandemic: Excess deaths due to disruptions in healthcare and lockdowns (13) Diabetes Health Services and System Innovations (131) Artificial Intelligence in Diabetes Care and Prevention (42) Diabetes Surveillance and Epidemiology (34)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67047, first published .
Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Barriers and Determinants of Referral Adherence in AI-Enabled Diabetic Retinopathy Screening for Older Adults in Northern India During the COVID-19 Pandemic: Mixed Methods Pilot Study

Authors of this article:

Anshul Chauhan1 Author Orcid Image ;   Anju Goyal2 Author Orcid Image ;   Ritika Masih1 Author Orcid Image ;   Gagandeep Kaur1 Author Orcid Image ;   Lakshay Kumar1 Author Orcid Image ;   ­ Neha1 Author Orcid Image ;   Harsh Rastogi1 Author Orcid Image ;   Sonam Kumar1 Author Orcid Image ;   Bidhi Lord Singh1 Author Orcid Image ;   Preeti Syal2 Author Orcid Image ;   Vishali Gupta1 Author Orcid Image ;   Luke Vale3 Author Orcid Image ;   Mona Duggal1, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

There are no citations yet available for this article according to Crossref .